Results 21 to 30 of about 6,040,759 (312)
Text classification using capsules [PDF]
Neurocomputing, 2020 This paper presents an empirical exploration of the use of capsule networks for text classification. While it has been shown that capsule networks are effective for image classification, their validity in the domain of text has not been explored. In this paper, we show that capsule networks indeed have the potential for text classification and that ...
Jaeyoung Kim +3 more
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Self-supervised Regularization for Text Classification
Transactions of the Association for Computational Linguistics, 2021 Text classification is a widely studied problem and has broad applications. In many real-world problems, the number of texts for training classification models is limited, which renders these models prone to overfitting.
Meng Zhou, Zechen Li, Pengtao Xie
doaj +1 more source
BAE: BERT-based Adversarial Examples for Text Classification [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 Modern text classification models are susceptible to adversarial examples, perturbed versions of the original text indiscernible by humans but which get misclassified by the model.
Siddhant Garg, Goutham Ramakrishnan
semanticscholar +1 more source
Comparison of text-image fusion models for high school diploma certificate classification
Communications in Science and Technology, 2020 File scanned documents are commonly used in this digital era. Text and image extraction of scanned documents play an important role in acquiring information. A document may contain both texts and images.
Chandra Ramadhan Atmaja Perdana +2 more
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Small-Text: Active Learning for Text Classification in Python [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2023 We introduce small-text, an easy-to-use active learning library, which offers pool-based active learning for single- and multi-label text classification in Python.
Christopher Schröder +3 more
semanticscholar +1 more source
TextConvoNet: a convolutional neural network based architecture for text classification [PDF]
Applied intelligence (Boston), 2022 This paper presents, TextConvoNet , a novel Convolutional Neural Network (CNN) based architecture for binary and multi-class text classification problems.
Sanskar Soni, S. Chouhan, S. Rathore
semanticscholar +1 more source
A Survey on Data Augmentation for Text Classification [PDF]
ACM Computing Surveys, 2021 Data augmentation, the artificial creation of training data for machine learning by transformations, is a widely studied research field across machine learning disciplines.
Markus Bayer +2 more
semanticscholar +1 more source
Revisiting Text Guide, a Truncation Method for Long Text Classification
Applied Sciences, 2021 The quality of text classification has greatly improved with the introduction of deep learning, and more recently, models using attention mechanism.
Krzysztof Fiok +5 more
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Automatic Classification of Text Complexity
Applied Sciences, 2020 This work introduces an automatic classification system for measuring the complexity level of a given Italian text under a linguistic point-of-view.
Valentino Santucci +3 more
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Universal Language Model Fine-tuning for Text Classification
Annual Meeting of the Association for Computational Linguistics, 2018 Inductive transfer learning has greatly impacted computer vision, but existing approaches in NLP still require task-specific modifications and training from scratch. We propose Universal Language Model Fine-tuning (ULMFiT), an effective transfer learning
Jeremy Howard, Sebastian Ruder
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